Raindrop Size Distributions and Rain Characteristics Observed by a PARSIVEL Disdrometer in Beijing, Northern China

Ji, Lei; Chen, Haonan; Li, Lin; Chen, Baojun; Xiao, Xian; Chen, Min; Zhang, Guifu

doi:10.3390/rs11121479

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i

Raindrop Size Distributions and Rain Characteristics Observed by a PARSIVEL Disdrometer in Beijing, Northern China

2019
By Ji, Lei ; Chen, Haonan ; Li, Lin ; ...
Source: Remote Sens. 2019, 11(12), 1479

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Journal Title:

Remote Sensing
Personal Author:

Ji, Lei ; Chen, Haonan ; Li, Lin ; Chen, Baojun ; Xiao, Xian ; ... More +

Ji, Lei ; Chen, Haonan ; Li, Lin ; Chen, Baojun ; Xiao, Xian ; Chen, Min ; Zhang, Guifu Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; ESRL (Earth System Research Laboratory) ; PSL (Physical Sciences Laboratory) ; CIRA (Cooperative Institute for Research in the Atmosphere)

OAR (Oceanic and Atmospheric Research) ; ESRL (Earth System Research Laboratory) ; PSL (Physical Sciences Laboratory) ; CIRA (Cooperative Institute for Research in the Atmosphere) Less -
Description:

Fourteen-month precipitation measurements from a second-generation PARSIVEL disdrometer deployed in Beijing, northern China, were analyzed to investigate the microphysical structure of raindrop size distribution and its implications on polarimetric radar applications. Rainfall types are classified and analyzed in the domain of median volume diameter D0 and the normalized intercept parameter Nw . The separation line between convective and stratiform rain is almost equivalent to rain rate at 8.6 mm h−1 and radar reflectivity at 36.8 dBZ. Convective rain in Beijing shows distinct seasonal variations in log10Nw–D0 domain. X-band dual-polarization variables are simulated using the T-matrix method to derive radar-based quantitative precipitation estimation (QPE) estimators, and rainfall products at hourly scale are evaluated for four radar QPE estimators using collocated but independent rain gauge observations. This study also combines the advantages of individual estimators based on the thresholds on polarimetric variables. Results show that the blended QPE estimator has better performance than others. The rainfall microphysical analysis presented in this study is expected to facilitate the development of a high-resolution X-band radar network for urban QPE applications.
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Rain And Rainfall Remote Sensing
Source:

Remote Sens. 2019, 11(12), 1479
DOI:

https://doi.org/10.3390/rs11121479
Document Type:

Journal Article
Place as Subject:

Beijing (China)
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CC BY
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Submitted
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urn:sha256:92cc4eaf6a909009c7b5459dcd446302d95b9c67f05ab37c14103f09fa945f4b
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Raindrop Size Distributions and Rain Characteristics Observed by a PARSIVEL Disdrometer in Beijing, Northern China

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